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Heart Disease Prediction

PROJECT NOTEBOOK: Jupyter Notebook

Author: Finnian Logan-Riley

I consider this my magnum opus of data processing. However, much was learnt and there is space for improvement, mainly around neural networks.

Hypothesis - Is it possible to predict heart disease events?

Hypothesis answer: Yes!

Key Strategies

  • Data exploration
  • Data repair (KNN imputer)
  • Data cleaning
  • Automatic multi-algorithm evaluating
  • Model combining
  • Neural networks
  • Automatic neural network optimizer
  • Traditional data analysis techniques
    • Linear regression
    • Multivariate plots
    • Scatter plots
    • Pairplot classification
    • Feature selection
    • Value standardization
    • Logistic regression
    • Confusion matrix
    • Univariate histograms
    • Box and whisker plot

The dataset used in this project was sourced from here.

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